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- 2021
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Mark
ComPOS - a Domain-Specific Language for Composing Internet-of-Things Systems
2021)(
- Thesis › Doctoral thesis (compilation)
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Mark
The fine-grained complexity of computing the tutte polynomial of a linear matroid
2021) 32nd Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2021 In Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms p.2333-2345(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
X-Pro : Distributed XDP Proxies Against Botnets of Things
2021) 26th Nordic Conference on Secure IT Systems, NordSec 2021 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 13115 LNCS. p.51-71(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Unidentified Users of Design Documentation
2021) 23rd International Conference on Human-Computer Interaction, HCII 2021 In Communications in Computer and Information Science 1498 CCIS. p.11-16(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
LOVE a Pairing
2021) 7th International Conference on Cryptology and Information Security in Latin America, LATINCRYPT 2021 In Lecture Notes in Computer Science 12912. p.320-340(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Gaze tracking partisans : Trust and individual conservatism mediates visual attention to search engine result pages
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Solution of universal nonrelativistic nuclear DFT equations in the Cartesian deformed harmonic-oscillator basis. (IX) HFODD (v3.06h) : A new version of the program
(
- Contribution to journal › Article
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Mark
In the eyes of the beholder: On innovation metrics : A study on innovation metrics in changing strategic contexts
2021)(
- Thesis › Doctoral thesis (compilation)
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Mark
Solving the subset sum problem with a nonideal biological computer
(
- Contribution to journal › Article
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Mark
The value of human data annotation for machine learning based anomaly detection in environmental systems
(
- Contribution to journal › Article